Data Engineer

Suvoda • Conshohocken, PA

2d

About The Position

Suvoda is seeking a recent graduate with a passion for data and a strong technical foundation to join their Product Development team. This is an opportunity to launch a data engineering career at Suvoda, a global clinical trial technology company where your work directly helps advance human health. As a Data Engineer, you will join a collaborative team building a modern, cloud-native data platform. You will help build domain-oriented data products using GraphQL APIs and contribute to near real-time reporting through AWS DMS replication to Aurora PostgreSQL.

Requirements

• Bachelor’s degree in technical fields such as Computer Science or Mathematics.
• Strong foundational skills in Python and SQL — you’re comfortable writing queries and scripts from scratch.
• Academic or project experience with data engineering concepts: pipelines, data modeling, or ETL/ELT workflows.
• Exposure to cloud platforms, particularly AWS (coursework, personal projects, or internships all count).
• Familiarity with data structures, distributed systems, or database design — you understand the “why” behind the tools.
• A collaborative mindset and strong communication skills — you ask good questions and explain your thinking clearly.
• A genuine enthusiasm for data and a desire to keep learning in a fast-moving environment.

Nice To Haves

• Master’s degree or relevant certifications.
• Experience with event-driven architectures (e.g., Kafka, Kinesis).
• Familiarity with data cataloging and metadata management tools.
• Awareness of data privacy and compliance standards (e.g., GDPR, HIPAA).
• Exposure to agile development and DevOps practices.

Responsibilities

• Assist in implementing a data mesh architecture using GraphQL APIs to expose domain-owned data products.
• Help build and maintain an AWS-based data lake using S3, Glue, Lake Formation, Athena, and Redshift.
• Develop and maintain ETL/ELT pipelines using AWS Glue and PySpark for batch and streaming data workloads.
• Support AWS DMS pipelines to replicate data into Aurora PostgreSQL for near real-time analytics.
• Follow best practices for data governance, quality, observability, and API design.
• Collaborate with product, engineering, and analytics teams to deliver reliable data solutions.
• Contribute to CI/CD and automation efforts for data infrastructure and pipelines.
• Stay curious — explore emerging tools and share ideas that could make our platform even better.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 501-1,000 employees